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~accessRights:"free"
~institution:"Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München"
~subject:"Information"
~subject:"local optima"
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The Carnapian Aufbau model: epistemology of the sense-data
Estrada, Fernando
-
Volkswirtschaftliche Fakultät, …
-
2011
to upgrade the project original carnapian, in the sense of conferring to the constitutional
program
of construction …
Persistent link: https://www.econbiz.de/10009019713
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2
The visual model of the Aufbau
Estrada, Fernando
-
Volkswirtschaftliche Fakultät, …
-
2011
to upgrade the project original carnapian, in the sense of conferring to the constitutional
program
of construction …
Persistent link: https://www.econbiz.de/10009644932
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3
Global Optimization by Differential Evolution and Particle Swarm Methods: Evaluation on Some Benchmark Functions
Mishra, SK
-
Volkswirtschaftliche Fakultät, …
-
2006
In this paper we compare the performance of the Differential Evolution (DE) and the Repulsive Particle Swarm (RPS) methods of global optimization. To this end, seventy test functions have been chosen. Among these test functions, some are new while others are well known in the literature; some are...
Persistent link: https://www.econbiz.de/10005835615
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4
Repulsive Particle Swarm Method on Some Difficult Test Problems of Global Optimization
Mishra, SK
-
Volkswirtschaftliche Fakultät, …
-
2006
algorithm (GA)and/or Simulated annealing (SA) method. We append the (Fortran) computer
program
that we have developed and used …
Persistent link: https://www.econbiz.de/10005836253
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5
The Barter Method: A New Heuristic for Global Optimization and its Comparison with the Particle Swarm and the Differential Evolution Methods
Mishra, SK
-
Volkswirtschaftliche Fakultät, …
-
2006
The objective of this paper is to introduce a new population-based (stochastic) heuristic to search the global optimum of a (continuous) multi-modal function and to assess its performance (on a fairly large number of benchmark functions) vis-à-vis that of two other well-established and very...
Persistent link: https://www.econbiz.de/10005616773
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